Quantitative Analysis of China's Artificial Intelligence Technology Patents

Abstract

Traditional patent statistics cannot accurately reflect the real development level of technology. In order to overcome this deficiency, this study adopts quantitative research methods to conduct empirical research on global artificial intelligence technology-related patent applications, and on this basis, provides suggestions for the government and enterprises on how to improve my country's innovation capabilities in the field of artificial intelligence. First, this paper analyzes patent application trends, technology application areas and innovation trends using the incoPat patent search database and information visualization tools. On this basis, the Herfindahl-Hirschman index is further used to measure and analyze the patent concentration of artificial intelligence technology patent applicants in various regions of my country. The analysis results show that my country has the largest number of patent applications in the area of artificial intelligence technology, but the proportion of high-value patents is relatively low, which needs to be further improved. Patents in the eastern region are relatively scattered, while patents in the western region are relatively concentrated. The government should introduce policies according to local conditions to avoid excessive concentration and dispersion of patents.